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LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

@WillianTomaz
WillianTomaz / wsl-info.md
Last active May 26, 2026 02:45
Instruções do WSL (Instalação, Backup e Restauração)

LinkedIn

Instruções para Instalação, Backup e Restauração do WSL 2

  • Observação:

    • Sempre buscar pela documentação oficial, este documento é um tutorial
      que pode não te atender conforme tenha novas atualizações do processo de instalação.
    • As referências estão no final do documento.
  • Foi utilizado:

@kmhswimgirl
kmhswimgirl / ros_links.md
Created May 26, 2026 02:00
My favorite ROS resources
@Beyarz
Beyarz / guide.md
Last active May 26, 2026 02:27
Install the Apache Web Server on Ubuntu

Install apache web server

sudo apt update

sudo apt install apache2

List the ufw application profiles by typing:

sudo ufw app list